Below is a selection of dissertations and theses from the Computational and Data Sciences program in Schmid College that had been voluntarily included in Chapman University Digital Commons. To view additional dissertations from 2018 or earlier, please visit the Leatherby Libraries' print collection or in Proquest's Dissertations and Theses database. For dissertations and theses from 2019 or later, please visit the appropriate collections on the Chapman Digital Commons:
Theses from 2017
Optimized Forecasting of Dominant U.S. Stock Market Equities Using Univariate and Multivariate Time Series Analysis Methods, Michael Schwartz
Theses from 2016
Assisting Children Action Association Through Visual Queues and Wearable Technology, Anthony Young
Theses from 2015
An Application of the Autism Management Platform to Tracking Student Progress in the Special Education Environment, Ryan Thomas Burns